Document Classification with CC4 Neural Network
CC4 neural network is a new type of corner classification training algorithm for three-layered feedforward neural networks. On the condition that documents are almost of the same size, CC4 neural network is an efficient document classification algorithm. It would be impractical however to assume that all documents on WWW is of the same size in reality. To solve the problem incurred by the great difference in document sizes, we propose an MDS-NN based data indexing method thus making all documents be mapped to k-dimensional points while their distance information is kept well. We also extend CC4 neural network so that it can accept kdimensional indexes of documents as its input, then transforms these indexes to binary sequences required by CC4 neural network. Our experimental results show that the performance of our method is much better than that of original CC4.
Enhong Chen Shangfei Wang Zhenya Zhang Xufa Wang
Department of Computer Science University of Science and Technology of China,Hefei, Anhui 230027, P.R.China
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
614-619
2001-11-14（万方平台首次上网日期，不代表论文的发表时间）